Build a Deep Facial Recognition App - Kivy Computer Vision App with OpenCV and Tensorflow

Build a Deep Facial Recognition App - Kivy Computer Vision App with OpenCV and Tensorflow

Nicholas Renotte via YouTube Direct link

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Build a Deep Facial Recognition App - Kivy Computer Vision App with OpenCV and Tensorflow

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  1. 1 - Start
  2. 2 - Explainer
  3. 3 - Tutorial Start
  4. 4 - Whiteboard
  5. 5 - Setup App Folder
  6. 6 - Install Kivy
  7. 7 - Setup Validation Folder
  8. 8 - Create Custom Layer module
  9. 9 - Bring over h5 model
  10. 10 - Create faceid.py
  11. 11 - Import Dependencies
  12. 12 - Import Other Dependencies
  13. 13 - Build App Layout
  14. 14 - Build Update Function
  15. 15 - Migrate preprocessing Function
  16. 16 - Migrate verification Function
  17. 17 - Setup Webcam Saving
  18. 18 - Load Tensorflow Model
  19. 19 - Link Verification button to Function
  20. 20 - Testing the App
  21. 21 - Tuning the Verification and Detection Metrics
  22. 22 - Debugging Weird Detection Performance
  23. 23 - Performance Tuning
  24. 24 - Data Augmentation
  25. 25 - Adding more images to Dataset
  26. 26 - Bump up Shuffle buffer_size
  27. 27 - Evaluate on Whole Test Dataset
  28. 28 - Testing the Final Model

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